Udemy – Complete Guide to TensorFlow for Deep Learning with Python 2020-4

Description

The Complete Guide to TensorFlow for Deep Learning with Python is the TensorFlow Framework Tutorial for Deep Learning with Python from Udemy. This course will guide you through how to use Google's TensorFlow framework to create artificial neural networks for deep learning. This course will help you easily understand the complexity of Google TensorFlow Framework in an easy way. This course is designed for theoretical balance and practical implementation. TensorFlow is an open source software library for numerical calculations using data flow charts. Nodes in the diagram represent mathematical operations. Graph edges, on the other hand, represent multidimensional data arrays that communicate with each other. Flexible architecture allows you to assign computations to one or more CPUs or GPUs on a desktop, server or mobile device with an API.

Features of the Complete Guide to TensorFlow course for Deep Learning with Python

Understand how neural networks work

Build a personal neural network from scratch with Python

Learn how to train OpenAI to strengthen readiness

Create Adversarial Generating Networks with TensorFlow

Use TensorFlow for classification and regression tasks

Use TensorFlow to solve unprotected learning problems with AutoEncoders

Use TensorFlow to classify images with Convolutional neural networks

Use TensorFlow to analyze time series with frequent neural networks

Course information

Duration: 14 hours and 9 minutes

English language

Number of courses: 96

Instructor: Jose Portilla

Requirements Complete Guide to TensorFlow for Deep Learning

Some knowledge of programming (preferably Python) Some basic knowledge of math (mean, standard deviation, etc..)

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

Changes:

The 2018/11 version has increased by 16 lessons compared to 2018/1. Subtitle added.

The 2019/9 version has been reduced by about 1 minute compared to the 2018/11 version.

Version 2020/4 has not changed in number of courses and total time compared to 2019/9, but the volume has increased by about 200 MB.